Machine Learning
Durham
Engineering&Physical Sciences :: Computer Science
Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:
35
CRN: 53552
CRN: 53552
An introduction to fundamental concepts and common methods in machine learning. In addition to theoretical topics, the course involves hands-on experience in making predictions using synthetic and real-world datasets. Prereq: MATH 539 or MATH 644, and Programming course or Permission of instructor.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Mutual Exclusion : MATH 738
Only listed colleges in section: Engineering&Physical Sciences
Classes not allowed in section: Freshman, Sophomore
Instructors: Marek Petrik
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/25/2022 | 5/9/2022 | MW | 11:10am - 12:30pm | KING N113 |
| 1/25/2022 | 5/9/2022 | F | 1:10pm - 2:00pm | KING N113 |
Booklist
Gareth James ,Daniela Witten, Trevor Hastie, Robert Tibshirani, An Introduction to Statistical Learning with Applications in R, Second Edition, available online as a pdf: https://www.statlearning.com/